Best Big Data Integration Platforms for Small Business

How Many Big Data Integration Platforms Products Does G2 Track?

Total Products under this Category: 137

Category Stats (Nov 2026)

  • Average Rating: 4.51/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: The Cognite AI & Data Platform (+1.39%) - Among all products in this category, The Cognite AI & Data Platform recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Big Data Integration Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 11,200+ Authentic Reviews
  • 137+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Big Data Integration Platforms

G2 Grid® for Big Data Integration Platforms plotting products by satisfaction and market presence

Highlighted products: Alteryx, Google Cloud BigQuery, Fivetran, Informatica Data Integration and Engineering, Maia, Amazon Redshift, dbt, and Snowflake.

Underlying data: [Grid® JSON](https://www.g2.com/categories/big-data-integration-platforms/grids.json?focus%5B%5D=alteryx&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=fivetran&focus%5B%5D=informatica-data-integration-and-engineering&focus%5B%5D=matillion-maia&focus%5B%5D=amazon-redshift&focus%5B%5D=dbt&focus%5B%5D=snowflake&segment=small-business)

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 933

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,162

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.0/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, appreciating its intuitive interface and fast query execution.
  • Users admire the fast query performance of Google Cloud BigQuery, enhancing their experience with large datasets.
  • Users value the fast querying capabilities of Google Cloud BigQuery, enabling efficient analysis of large datasets.
  • Users value the seamless SQL integration of BigQuery, enhancing data analytics in the Google Cloud ecosystem.
  • Users value the query efficiency of Google Cloud BigQuery, enjoying fast performance on large datasets with ease.
Cons
  • Users find the costs can escalate quickly without careful query optimization and monitoring on Google Cloud BigQuery.
  • Users experience query issues leading to escalated costs and unexpected behavior with special characters in BigQuery.
  • Users find that costs can escalate quickly with Google Cloud BigQuery due to unoptimized queries and large datasets.
  • Users report that costs can escalate quickly due to needing careful optimization and monitoring for large-scale queries.
  • Users find the learning curve steep for Google Cloud BigQuery, requiring significant time to master its features.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

Fivetran

Fivetran is the data foundation for AI. One platform moves, manages, and transforms data from every application, database, event stream, and file your business runs on into a governed foundation that analytics, operations, and AI can act on. Connectors deploy in minutes, run themselves, and adjust automatically when a source changes, so your data team spends its time building, not maintaining pipelines.

Average Rating: 4.3/5.0

Total Reviews: 839

How Do G2 Users Rate Fivetran?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Fivetran?

  • Seller: Fivetran
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Medium, 27% Small

What Do G2 Reviewers Say About Fivetran?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Fivetran, praising its intuitive interface and simple setup processes.
  • Users value Fivetran's easy setup, allowing seamless integration without needing deep technical expertise.
  • Users highlight the easy integration of Fivetran, enabling quick setup and reliable connections across platforms.
  • Users highlight the responsive and helpful customer support of Fivetran, ensuring a smooth data integration experience.
  • Users appreciate the user-friendly interface of Fivetran, making data integration and connector setup seamless and intuitive.
Cons
  • Users experience sync issues with Fivetran, leading to delays and difficulties in data management for projects.
  • Users find Fivetran to be expensive, especially for startups and small businesses with high data volumes.
  • Users face integration issues with Fivetran, particularly with costly dependencies and missing connectors for certain data sources.
  • Users express concerns about high pricing issues with Fivetran, especially as data needs grow and scale.
  • Users note the steep learning curve with Fivetran, requiring technical skills for complex queries and overcoming initial confusion.

What Are Recent G2 Reviews of Fivetran?

What Are G2 Users Discussing About Fivetran?

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Informatica Data Integration and Engineering

Cloud Data Integration (CDI) is a comprehensive, AI-powered ETL and ELT solution designed to easily move, transform, and synchronize data between various sources and target systems across any cloud, anywhere, at scale. Built on a modern technology stack, CDI offers easy, efficient and cost-effective data ingestion, transformation, synchronization, and replication for a multi-cloud and serverless world for everyone and everywhere. It covers diverse integration patterns, ensuring you have well-architected and seamlessly automated data pipelines for all your advanced analytics and AI needs.

Average Rating: 4.3/5.0

Total Reviews: 320

How Do G2 Users Rate Informatica Data Integration and Engineering?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.0/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Informatica Data Integration and Engineering?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Informatica Data Integration and Engineering?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Informatica Data Integration, making ETL tasks manageable for both beginners and experts.
  • Users appreciate the efficiency of Informatica Data Integration, benefiting from seamless connectivity and scalable data transfers.
  • Users appreciate the robust connectivity and ease of use of Informatica Data Integration for ETL tasks.
  • Users value the time-saving access of Informatica Data Integration, enabling efficient workflows without software installation.
  • Users appreciate the automation features of Informatica CDI, enhancing their data integration workflows efficiently.
Cons
  • Users find the complexity of setup and configuration challenging, especially for newcomers to the platform.
  • Users find the complex usability of Informatica Data Integration and Engineering challenging, especially for beginners.
  • Users find debugging difficult, as it often requires significant effort and complex configurations to resolve issues effectively.
  • Users find the difficult setup process of Informatica Data Integration and Engineering challenging, especially for newcomers to the platform.
  • Users struggle with unusual error messages in Informatica, often requiring tedious troubleshooting to resolve mapping issues.

What Are Recent G2 Reviews of Informatica Data Integration and Engineering?

What Are G2 Users Discussing About Informatica Data Integration and Engineering?

Amazon Redshift

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Average Rating: 4.3/5.0

Total Reviews: 391

How Do G2 Users Rate Amazon Redshift?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.0/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Amazon Redshift?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Large, 39% Medium

What Do G2 Reviewers Say About Amazon Redshift?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Amazon Redshift, finding it simple to implement and manage effectively.
  • Users appreciate the smooth integrations of Amazon Redshift, enhancing efficiency and collaboration with various software platforms.
  • Users love the easy integrations with other software, enhancing their experience with Amazon Redshift and data management.
  • Users value the fast querying capabilities of Amazon Redshift, enhancing efficiency in handling large datasets effortlessly.
  • Users appreciate the impressive scalability of Amazon Redshift, enabling efficient handling of large data volumes effortlessly.
Cons
  • Users find the operational complexity of Amazon Redshift to be a significant challenge, requiring extensive optimization efforts.
  • Users note the feature limitations in Amazon Redshift, including data type restrictions and outdated Postgre setup.
  • Users face software limitations with Amazon Redshift, including costly scaling and restricted data type support.
  • Users face challenges with query issues, including optimization needs, concurrency management, and performance degradation with complex data.
  • Users note that query optimization demands significant effort and specialized knowledge, complicating overall user experience.

What Are Recent G2 Reviews of Amazon Redshift?

What Are G2 Users Discussing About Amazon Redshift?

Maia

Maia is an AI Data Automation platform powered by autonomous AI agents that build, maintain, and evolve data products, thus eliminating manual data work. Maia empowers CDAOs and enterprise data teams to deliver data products at machine scale while maintaining governance. Its integrated platform combines specialized agents in Maia Team, grounded in the organizational data intelligence of the Maia Context Engine and executed through the governed data tools of Maia Foundation. Organizations like EDF, St. James’ Place, and Nature’s Touch use Maia to automate data work at scale, modernize platforms, and accelerate AI roadmaps without expanding headcount. See Maia for yourself.

Average Rating: 4.5/5.0

Total Reviews: 129

How Do G2 Users Rate Maia?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.0/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Maia?

  • Seller: Matillion
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Salford, GB
  • LinkedIn® Page: www.linkedin.com
    473 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 31% Large

What Do G2 Reviewers Say About Maia?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Matillion, appreciating its intuitive interface and supportive learning resources for beginners.
  • Users value the automation capabilities of Maia, simplifying complex workflows and enhancing data pipeline efficiency.
  • Users appreciate the simple UI of Matillion, making configuration easy and intuitive for all users.
  • Users appreciate the user-friendly interface of Matillion, making it easy for anyone to configure and understand.
  • Users appreciate the ETL efficiency of Maia, thanks to seamless cloud integration and a user-friendly visual interface.
Cons
  • Users report feature limitations in Maia, especially regarding API access and workflow performance issues.
  • Users find the pricing model expensive, especially as data volumes increase and costs accumulate.
  • Users face performance issues with Jython and single-thread limitations, alongside clunky components and cloud version deficiencies.
  • Users note the cloud dependency of Maia can lead to challenges and limitations in functionality and customization.
  • Users face API limitations with Matillion, lacking sufficient administrative functions and user-friendly data extraction options.

What Are Recent G2 Reviews of Maia?

What Are G2 Users Discussing About Maia?

dbt

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Average Rating: 4.7/5.0

Total Reviews: 209

How Do G2 Users Rate dbt?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.0/10)
  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Analytics Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Medium, 27% Small

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of dbt, benefiting from its simple setup and efficient data transformation processes.
  • Users value the ease of use and structured approach of dbt, enhancing collaboration and reliability in data transformation.
  • Users value the automation of data modeling in dbt, enhancing trust and accuracy in their analytics processes.
  • Users value the organized and predictable structure of dbt, enhancing their analytics workflow and fostering collaboration.
  • Users value the easy integrations of dbt, streamlining data workflows and enhancing collaboration without added delays.
Cons
  • Users often experience limited functionality due to issues like debugging complexities and rigid project structures, hindering progress.
  • Users face dependency issues with dbt, leading to inflexibility, time-consuming debugging, and increased project complexity.
  • Users find the steep learning curve of dbt challenging, complicating onboarding and slowing down project progression.
  • Users experience vague error messages that complicate debugging and troubleshooting in dbt, hindering their workflow efficiency.
  • Users find error reporting and troubleshooting difficult, often facing vague messages that hinder debugging and workflow efficiency.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

Workato

Workato is the #1-rated iPaaS and the leader in Enterprise MCP — the platform enterprises trust to unify integration, automation, and AI in one secure, cloud-native runtime. Trusted by over 12,000 customers including half the Fortune 500, Workato connects every system, process, and data source with 14,000+ pre-built connectors. What sets Workato apart: Enterprise MCP turns proven business processes into governed, agent-ready skills that any AI agent — Claude, ChatGPT, Cursor, or custom-built — can execute safely and predictably. No rip-and-replace required. Whether modernizing legacy integrations or deploying agentic AI at scale, Workato delivers the orchestration, governance, and trust needed in the enterprise.

Average Rating: 4.7/5.0

Total Reviews: 828

How Do G2 Users Rate Workato?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.0/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Workato?

  • Seller: Workato
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Mountain View, California
  • LinkedIn® Page: www.linkedin.com
    1,466 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 41% Medium, 34% Large

What Do G2 Reviewers Say About Workato?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use and flexibility of Workato invaluable for building automations effortlessly.
  • Users praise the easy integration capabilities of Workato with numerous prebuilt connectors for seamless workflows.
  • Users find the easy integrations with prebuilt connectors in Workato make workflow automation seamless and user-friendly.
  • Users value the easy-to-use automation features of Workato, enabling quick workflow creation for non-technical individuals.
  • Users value the intuitive drag-and-drop interface of Workato, enabling effortless workflow creation and quick automation.
Cons
  • Users find Workato's complex workflows and technical nature challenging, particularly for beginners and marketers.
  • Users find the steep learning curve of Workato challenging, requiring significant effort to navigate its complexities.
  • Users find the lack of pre-built connectors and troubleshooting tools limits Workato's usability and overall experience.
  • Users find data limitations frustrating, particularly regarding pricing and troubleshooting challenges with Workato's workflows.
  • Users find the high pricing of Workato to be a significant barrier for smaller teams, leading to frustration.

What Are Recent G2 Reviews of Workato?

What Are G2 Users Discussing About Workato?

Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

Average Rating: 4.6/5.0

Total Reviews: 732

How Do G2 Users Rate Snowflake?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Menlo Park, California, United States
  • LinkedIn® Page: www.linkedin.com
    12,574 employees on LinkedIn®
  • Ownership: NYSE:SNOW

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Snowflake, enjoying its user-friendly interface and seamless scalability for data analysis.
  • Users appreciate the flexible scalability of Snowflake, allowing independent adjustments to performance and efficient resource management.
  • Users value the effortless data management Snowflake offers, enabling quick analysis without infrastructure concerns.
  • Users appreciate the user-friendly interface of Snowflake, making navigation easy and intuitive for SQL tasks.
  • Users value the strong integration ecosystem of Snowflake, which enhances versatility and simplifies data workflows seamlessly.
Cons
  • Users find Snowflake to be expensive, as costs can escalate quickly without careful usage monitoring and optimization.
  • Users highlight the high costs associated with Snowflake, especially for unoptimized workloads and usage spikes.
  • Users find cost management challenging, as compute expenses can escalate quickly without careful monitoring and optimization.
  • Users find the learning curve for advanced features in Snowflake steep, especially for newcomers needing rapid proficiency.
  • Users find feature limitations in Snowflake, particularly in cost management and control over optimization and dynamic scripting.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

5X

5X is an end-to-end data and AI platform. The platform organizes your data regardless of source or format. Whether you have a dedicated data team or not, our platform
transforms fragmented data into actionable insights and apps. The customer feedback we get most often is, "This is self-explanatory," and "It's super easy to use." And that is exactly what our goal was—to create a powerful, all-in-one platform that's incredibly easy to use.  The modern data stack has evolved. It's no longer about stitching together vendors. The next-generation modern data stack is an all-in-one platform that offers speed, simplicity, and decreased cost of ownership. That's exactly what we have created at 5X. Companies use 5X for multiple reasons: 1) Speed & productivity. All-in-one data platforms are incredibly efficient. We've seen companies build use cases on day 1.  Contact us to see if you qualify for a free 48 hour jumpstart! 🚀 2) Decrease your total cost of ownership by 30% compared to building your own platform. This doesn't account the people hours needed to support a platform build 🤯 3) Use our full stack data consultancy for support on data engineering & analytics 👨‍💻 5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We’ve recently raised our seed round from Flybridge Capital and backed by top founders from companies like Datadog, Preset, Astronomer, Mode, Rudderstack and other prominent angel investors. For more information, visit 5X.co We don't just talk about speed and simplicity; we back it up with proof. Speak to us about our 48-hour jumpstart where we can build an end-to-end use case for you in 48 hours for free.

Average Rating: 4.9/5.0

Total Reviews: 81

How Do G2 Users Rate 5X?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.0/10)
  • Quality of Support: 9.8/10 (Category avg: 8.9/10)
  • Ease of Use: 9.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind 5X?

  • Seller: 5X
  • Year Founded: 2020
  • HQ Location: San Francisco
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 56% Medium, 40% Small

What Do G2 Reviewers Say About 5X?

AI-generated summary from verified user reviews

Pros
  • Users highlight the user-friendly interface of 5X, facilitating seamless data integration and dashboard creation.
  • Users value the exceptional customer support of 5X, appreciating their quick response and technical expertise.
  • Users value the user-friendly integration of 5X, enhancing data management with speed and accuracy for better insights.
  • Users praise the seamless integrations of 5X, enhancing user experience and allowing focus on product development.
  • Users appreciate the seamless data integration of 5X, simplifying management and enhancing collaboration for analytics teams.
Cons
  • Users face a steep learning curve with 5X, making initial setup and mastering the platform challenging.
  • Users find the complex setup of 5X time-consuming, affecting deployment and requiring additional support for configurations.
  • Users note feature limitations with some advanced tools still in development, requiring patience for full functionality.
  • Users face a significant learning curve initially with the 5X platform, requiring time to adapt to its complexity.
  • Users find the difficult setup of 5X to be time-consuming and complex, hindering efficient deployment.

What Are Recent G2 Reviews of 5X?

Skyvia

Skyvia is a no-code cloud data integration and data pipeline platform that enables ETL, ELT, Reverse ETL, data migration, one-way and bi-directional data sync, workflow automation, real-time connectivity, and much more. Benefits of Using Skyvia: • Cost efficiency: With affordable, flexible pricing plans for each product, Skyvia suites for businesses of any size. • Ease of Use: Based on extensive customer feedback, ease of use is Skyvia's strongest quality. • Flexibility: Skyvia provides adaptable, no-code integration tools for both basic and advanced business scenarios. • Trust: Skyvia is trusted by thousands of data-driven organizations around the globe. With a vast library of 200+ connectors, Skyvia provides seamless integration among various cloud applications, databases, and data warehouses, including Salesforce, Dynamics CRM, QuickBooks Online, SQL Server, Amazon Redshift, Google BigQuery, and others.

Average Rating: 4.8/5.0

Total Reviews: 327

How Do G2 Users Rate Skyvia?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.0/10)
  • Quality of Support: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Skyvia?

  • Seller: Devart
  • Year Founded: 1997
  • HQ Location: Wilmington, Delaware, USA
  • LinkedIn® Page: www.linkedin.com
    252 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Marketing Specialist
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 53% Small, 41% Medium

What Do G2 Reviewers Say About Skyvia?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of Skyvia, enjoying smooth integrations and intuitive setup for data management.
  • Users appreciate the effortless integrations of Skyvia, emphasizing its quick setup and reliability across various tools.
  • Users value the easy setup of Skyvia, finding it quick and intuitive for seamless data integration.
  • Users praise the effortless setup of Skyvia, highlighting its quick and intuitive integration process.
  • Users value the reliability and efficiency of Skyvia for seamless data management and integration across platforms.
Cons
  • Users desire more practical examples and documentation to enhance advanced setups and streamline the onboarding process.
  • Users find the difficult setup of Skyvia challenging, often needing extra time and guidance for configurations.
  • Users note feature limitations in Skyvia, particularly regarding reporting and data insertion speed in Oracle DB.
  • Users experience a significant learning curve with Skyvia, especially for complex setups and advanced features.
  • Users find the poor documentation limiting, wishing for more practical examples to enhance advanced setups.

What Are Recent G2 Reviews of Skyvia?

What Are G2 Users Discussing About Skyvia?

Weld

Weld delivers fresh, reliable data to your AI agents, analytics and operational tools with fully autonomous ETL pipelines. Move data from 300+ sources into BigQuery, Snowflake, Databricks and more with incremental, full and CDC replication. Build SQL models in Weld, sync them from GitHub or keep your dbt project. Everything runs in the order you define, and Weld retries what fails. Activate your models in CRMs, ad platforms and internal tools with reverse ETL, and see what needs attention before anyone asks. Weld is a data platform your agents can operate. Connect Claude, Cursor, ChatGPT or any agent that speaks MCP to query your warehouse, build models, trigger syncs and inspect pipeline runs. Your warehouse and credentials stay where they are. 300+ connectors built and maintained by Weld. 99.9% uptime. 200,000+ syncs every day. SOC 2 Type II.

Average Rating: 4.8/5.0

Total Reviews: 110

How Do G2 Users Rate Weld?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.0/10)
  • Quality of Support: 9.6/10 (Category avg: 8.9/10)
  • Ease of Use: 8.8/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Weld?

  • Seller: Weld
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Copenhagen, DK
  • LinkedIn® Page: www.linkedin.com
    94 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Retail
  • Company Size: 58% Small, 41% Medium

What Do G2 Reviewers Say About Weld?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Weld, saving time and simplifying data management with its intuitive interface.
  • Users highlight the exceptional customer support from Weld, finding it incredibly helpful and responsive to their needs.
  • Users highlight Weld's exceptional support and seamless data integration, enhancing their ability to derive insights effortlessly.
  • Users highlight the automation capabilities of Weld, saving hours on data integration and enhancing efficiency significantly.
  • Users value the easy and efficient data integration offered by Weld, simplifying complex data management tasks significantly.
Cons
  • Users express a desire for more native connectors, noting it could enhance their integration experience with Weld.
  • Users find the limited native connectors in Weld restrictive, impacting flexibility despite its overall effectiveness.
  • Users are concerned about the lack of native connectors, impacting integration flexibility with some tools.
  • Users find Weld's limited integrations frustrating, especially with restricted connectors on the basic plan.
  • Users experience connectivity issues with Weld, as some tools lack direct connectors and require third-party solutions.

What Are Recent G2 Reviews of Weld?

Coefficient

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

Average Rating: 4.7/5.0

Total Reviews: 206

How Do G2 Users Rate Coefficient?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.2/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Coefficient?

  • Seller: Coefficient
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Palo Alto, CA
  • LinkedIn® Page: www.linkedin.com
    70 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Medium, 35% Small

What Do G2 Reviewers Say About Coefficient?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coefficient, enjoying seamless data extraction and hassle-free synchronization across tools.
  • Users value the automation capabilities of Coefficient, making data management effortless and efficient.
  • Users appreciate the seamless integrations of Coefficient, enabling effortless data flow between systems like Salesforce and QuickBooks.
  • Users value the time-saving automation of Coefficient, reclaiming hours in their weekly reporting tasks.
  • Users find easy integrations with Coefficient seamless, enhancing productivity and simplifying their data workflow considerably.
Cons
  • Users find the limited filtering options in Coefficient restrictive and detrimental to their data analysis experience.
  • Users find the feature limitations of Coefficient frustrating, particularly with filtering and integration challenges.
  • Users find the limit of Google Sheets for multiple filters and imports restricts their data management capabilities.
  • Users find the missing features in Coefficient limiting, especially with filters and integrating charts from SFDC.
  • Users face integration issues with Coefficient, leading to frustrating limitations when connecting to other tools and systems.

What Are Recent G2 Reviews of Coefficient?

Astro by Astronomer

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Astronomer is the driving force behind Apache Airflow™, the de facto standard for expressing data flows as code. Airflow is downloaded more than 31 million times each month and is used by hundreds of thousands of teams around the world.

Average Rating: 4.5/5.0

Total Reviews: 135

How Do G2 Users Rate Astro by Astronomer?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.0/10)
  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Astro by Astronomer?

  • Seller: Astronomer
  • Company Website:
  • Year Founded: 2018
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    4,483 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Medium, 38% Large

What Do G2 Reviewers Say About Astro by Astronomer?

AI-generated summary from verified user reviews

Pros
  • Users find Astro by Astronomer to be easy to use, enhancing productivity with seamless integrations and efficient task management.
  • Users value the efficiency improvement of Astro by Astronomer, enhancing productivity and simplifying Airflow management.
  • Users love the intuitive interface of Astro, making Airflow orchestration and management effortless and efficient.
  • Users value the automation capabilities of Astro by Astronomer, simplifying task management and enhancing workflow efficiency.
  • Users praise the deployment ease of Astro by Astronomer, simplifying Airflow management and enhancing productivity effortlessly.
Cons
  • Users find Astro by Astronomer to be expensive, which poses challenges for small teams and flexibility in setups.
  • Users face a steep learning curve with Astro, making initial adaptation and training time-consuming.
  • Users find the learning curve challenging, requiring substantial time for new users to adapt and train effectively.
  • Users find the steep learning curve of Astro challenging, requiring additional time and effort for new users.
  • Users find Astro by Astronomer has limited customization options, impacting flexibility and adaptability for diverse needs.

What Are Recent G2 Reviews of Astro by Astronomer?

What Are G2 Users Discussing About Astro by Astronomer?

Elastic Stack

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

Average Rating: 4.5/5.0

Total Reviews: 106

How Do G2 Users Rate Elastic Stack?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.0/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Elastic Stack?

  • Seller: Elastic
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 35% Large

What Do G2 Reviewers Say About Elastic Stack?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Elastic Stack, simplifying real-time monitoring and analysis across diverse systems.
  • Users appreciate the flexibility of Elastic Stack, enabling customization and integration with various tools and formats.
  • Users value the unified log management of Elastic Stack, enabling quick issue correlation and comprehensive system insights.
  • Users appreciate the search efficiency of Elastic Stack, enabling quick issue correlation and insightful system behavior analysis.
  • Users appreciate the versatility of Elastic Stack, allowing seamless integration and customization across various deployment models and data types.
Cons
  • Users find that resource management challenges in Elastic Stack require extensive expertise and ongoing attention to maintain performance.
  • Users find the complexity issues of Elastic Stack challenging, requiring expertise for optimal management and performance.
  • Users find the Elastic Stack to be expensive at scale, especially due to high resource and licensing costs.
  • Users report that Elastic Stack's high memory usage can lead to increased costs and requires extensive resources at scale.
  • Users find the learning curve steep for Elastic Stack, requiring significant expertise for optimal performance and management.

What Are Recent G2 Reviews of Elastic Stack?

What Are G2 Users Discussing About Elastic Stack?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated
Reviews & FAQs

Reviews Summary: The Best Big Data Integration Platforms Software for Small-Business Businesses

Thanks to 10497 Big Data Integration Platforms software reviews and associated data from users working for small-sized companies, at G2 we have some of the most definitive data on the best Big Data Integration Platforms software for the smaller space. We have identified 34 individual Big Data Integration Platforms products offering the features, pricing and support that Small-Business companies look for when comparing Big Data Integration Platforms software and solutions. These reviews are generated using the qualitative and quantitative feedback from G2 members working in small-sized companies and who have used these Big Data Integration Platforms software products.

When G2 reviewers submit their Big Data Integration Platforms software reviews, they often provide information on the type of company they work for and what market segment they belong to. We break these different market segments into three distinct groups:

  • Small Business Big Data Integration Platforms Software Reviews (< 50 employees)
  • smaller Big Data Integration Platforms Software Reviews (51-1,000 employees)
  • Enterprise Big Data Integration Platforms Software Reviews (1,001+ employees)

smaller businesses have their own unique requirements when it comes to Big Data Integration Platforms software compared to small or enterprise companies. That is why these individual small-sized company Big Data Integration Platforms software reviews are especially helpful when comparing product set up, ease of use and overall cost.

Below you will find FAQs and review snippets for Big Data Integration Platforms software products that work well in smaller environments. These reviews are written by real G2 users working for these Small-Business companies who have real-world experience with these Big Data Integration Platforms software products.

FAQs About Big Data Integration Platforms Software for Small-Business Businesses

Q. What are the best Big Data Integration Platforms software products for small-sized businesses, according to G2 reviewers?
  • Alteryx - 4.5-stars, 102 reviews (15% from smaller reviewers)
  • Google Cloud BigQuery - 4.5-stars, 143 reviews (26% from smaller reviewers)
  • Fivetran - 4.3-stars, 214 reviews (26% from smaller reviewers)
  • Informatica Data Integration and Engineering - 4.2-stars, 27 reviews (21% from smaller reviewers)
  • Snowflake - 4.5-stars, 53 reviews (12% from smaller reviewers)
Q. What are the least-liked Big Data Integration Platforms software products for professionals at small-sized companies, based on the overall G2 rating?
  • Peregrine Connect - 4.5-stars, 15 reviews (21% from smaller reviewers)
  • Riva - 4.0-stars, 18 reviews (33% from smaller reviewers)
  • Qubole - 4.0-stars, 11 reviews (6% from smaller reviewers)
  • ClicData - 4.4-stars, 13 reviews (52% from smaller reviewers)
  • Qlik Replicate - 4.1-stars, 16 reviews (21% from smaller reviewers)
Q. What are the highest-rated Big Data Integration Platforms software tool features according to employees at Small-Business companies?
  • Not enough data to answer this question.
Q. What are the features that are rated lowest by employees at Small-Business companies?
  • Not enough data to answer this question.
Q. How many Big Data Integration Platforms software reviews are from users working in smaller companies?

1323 out of all Big Data Integration Platforms software reviews on G2 are from users working in Small-Business companies (13%).

Here's What Reviewers Working at smaller Businesses Have to Say About Big Data Integration Platforms Software

What Small-Business Professionals Liked What Small-Business Professionals Disliked

5X: “Their comprehensive user interface helps us accomplish tasks more quickly and provides better visibility into each step of our data operations. The 5X data platform is a plug and play solution, offering a unified space to reliably build, monitor, and maintain data flows for business analytics. With native integration of top-tier data tools, 5X provides the flexibility to deploy and build according to our business needs, enhancing collaboration within our teams.<br><br>In addition, they also offer an out of the box consulting services, with experts who act as a part of our internal team when we need to achieve business objectives within a limited timeframe.”

Read Review

Google Cloud BigQuery: “It is often difficult to navigate the interface, especially if there is a greater amount of content coming in to manage. Consequently, the invoicing and the pricing to manage this content increases which can become overwhelming and difficult to track.”

Read Review

Keboola: “I like Keboola's clear interface and the wide range of data connections. The ready-made connections to services like Google Analytics and ERP systems are very good. It simplifies working with data, allowing us to get data from the system with just a few clicks.”

Read Review

IBM StreamSets: “While IBM StreamSets is powerful, it can sometimes be complex to troubleshoot issues in large pipelines, and performance tuning may require additional effort for very high-volume data loads.”

Read Review

IBM StreamSets: “Easy integration with different endpoints”

Read Review

Fivetran: “Providers break very often. It takes weeks for support to resolve such issues. It takes days for support to respond to urgent issues Some API methods have ridiculous designs, e.g. updating the schema: you have to perform 7 API calls in a row to achieve a single change in the config. There's no API versioning; requests and responses just get updated. Pricing is extreme. Self-hosted solutions, for example, Airbyte, are identical in terms of setup and maintenance efforts, but you only pay for hosting. Last, but not least, it's not fast at all.”

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Recommendations To Others Problems Solved & Benefits

Alteryx: “Download the trial and test it. You will be amazed. It is the complete package for people who work with data. Go and visit Alteryx Community @ http://community.alteryx.com. You'll find all sorts of materials, help, lessons and great people willing to help.”

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Fivetran: “Fivetran helps us quickly get data from various sources in a usable format, making it easy to create new connectors.”

Read Review

Alteryx: “Get signed up for a demo or a free trial, it will very likely prove value in that short space of time.”

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Alteryx: “Alteryx solves our biggest headache: data fragmentation. In online marketing, our customer data is scattered across MySQL, PostgreSQL, SQL Server, and endless campaign CSVs and Excel tracking sheets. Instead of writing complex cross-database scripts or manually stitching spreadsheets together, Alteryx lets us blend all these disparate sources in one visual tool. The biggest benefit is automation and time saved, it turns hours of tedious weekly data prep into a repeatable pipeline that feeds clean, standardized metrics directly into our customer analytics dashboards.”

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Adverity: “Useful ETL Tool for basic purposes integrating all platform costs. I recommend it.”

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Maia: “Maia helps us streamline data integration and ETL processes by providing faster access to information, troubleshooting support, and guidance on data engineering tasks. It reduces the time spent researching solutions, improves productivity, and helps resolve technical issues more efficiently. This enables faster delivery of data pipelines, better decision-making, and improved operational efficiency.”

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